Databricks - Seattle, WA

posted 5 days ago

Full-time - Mid Level
Seattle, WA
5,001-10,000 employees
Professional, Scientific, and Technical Services

About the position

The role involves leading product management for a core area of Data Engineering at Databricks, focusing on driving the vision, strategy, roadmap, execution, and go-to-market efforts. The position is pivotal in enhancing the Data Engineering capabilities within the Databricks Lakehouse platform, which is essential for data ingestion, real-time stream processing, and ETL frameworks. The individual will collaborate with various product teams to integrate Data Engineering across the Databricks product portfolio, impacting the overall data and AI infrastructure.

Responsibilities

  • Lead product management for the Data Engineering area.
  • Drive the vision, strategy, roadmap, execution, and go-to-market efforts for Data Engineering.
  • Collaborate with various product teams to enhance Data Engineering capabilities across the Databricks product portfolio.
  • Define and shape the future of data processing, applications, and pipelines.
  • Own the full life cycle of product development from ideation to launch.

Requirements

  • 5+ years of product management experience with enterprise or SaaS products.
  • Educational or professional background in computer science or related engineering fields.
  • Ability to partner with senior technical leaders and understand technical concepts deeply.
  • Track record of delivering products with cross-functional teams in the enterprise software industry.
  • Strong analytical skills for data-driven decision making.
  • Excellent communication skills for conveying complex topics to diverse stakeholders.

Nice-to-haves

  • Background in Data Engineering.

Benefits

  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Employee Assistance Program (EAP)
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